It force your brain to deeply focus on a math equations and fast number recognition to pass the correct result with your character while the speed is increasing and you challenge simple math like never before

Statistics Done Wrong is a guide to the most popular statistical errors and slip-ups committed by scientists every day, in the lab and in peer-reviewed journals. This guide assumes no prior knowledge of statistics, so you can read it for Statistics I or after thirty years of scientific practice.

This website contains a sequence of lectures on economic modeling, focusing on the use of programming and computers for both problem solving and building intuition. The primary programming language is Python.

Numba is an just-in-time specializing compiler which compiles annotated Python and NumPy code to LLVM (through decorators). Its goal is to seamlessly integrate with the Python scientific software stack and produce optimized native code, as well as integrate with native foreign languages.

This book focuses on the programming strategies and techniques behind computer simulations of natural systems - unpredictable evolutionary and emergent properties of nature, and mathematical principles behind our physical world - using Processing.

This site explain concisely why you get that unexpected result, tell you how to deal with this problem, provide in-depth explanations of why floating-point numbers have to work like that and what other problems can arise.

Simple statistics is a JavaScript library that does descriptive statistics, regression, and classification. It can tell you basic things like minimum and maximum, but it can also compute tricky things like standard deviation and sample correlation.

Crossfilter is a JavaScript library for exploring large multivariate datasets in the browser. Crossfilter supports extremely fast (<30ms) interaction with coordinated views, even with datasets containing a million or more records.